A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images. - Lang Ren; Haibin Zhou; Jiaqi Chen; Lujiao Shao; Yingji Wu; Haijun Zhang 002 (NCAA, 2021)

Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features. - Jiaqi Chen; Lujiao Shao; Haibin Zhou; Jianghong Ma; Weizhi Meng 001; Zenghui Wang 001; Haijun Zhang 002 (NCAA (1), 2022)

A Collaborators Recommendation Method Based on Multi-feature Fusion. - Qi Yuan; Lujiao Shao; Xinyu Zhang; Xinrui Yu; Huiyue Sun; Jianghong Ma; Weizhi Meng 001; Xiao-Zhi Gao 001; Haijun Zhang 002 (NCAA (1), 2022)

Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model. - Choujun Zhan; Lujiao Shao; Xinyu Zhang; Ziliang Yin; Ying Gao 004; Chi K. Tse; Dong Yang; Di Wu 035; Haijun Zhang 002 (Inf. Sci., 2022)

𝕋2Net: an improved image-based text transfer framework using background inpainting and text conversion. - Haibin Zhou; Lujiao Shao; Boxiang Jia; Haijun Zhang 002 (Ind. Artif. Intell., 2023)

Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework. - Choujun Zhan; Yufan Zheng; Lujiao Shao; Guanrong Chen; Haijun Zhang 002 (Inf. Sci., 2023)

SRRNet: A Transformer Structure With Adaptive 2-D Spatial Attention Mechanism for Cell Phone-Captured Shopping Receipt Recognition. - Haibin Zhou; Lujiao Shao; Haijun Zhang 002 (IEEE Trans. Consumer Electron., 2024)